Reliable Flying IoT Networks for UAV Disaster Rescue Operations

Ahn, Taemin; Seok, Jihoon; Lee, Inbok; Han, Junghee

doi:10.1155/2018/2572460

Cited by 35 publications

(25 citation statements)

References 15 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unmanned aerial vehicles (UAVs) have been widely used in a large number of applications over the last years in many different fields, for example, environmental monitoring [1,2,3], visual coverage [4,5,6], natural disaster management [7,8,9,10], among others.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Silva

Souza

Alsina

et al. 2019

Sensors

View full text Add to dashboard Cite

This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Silva

Souza

Alsina

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Security is very important and broadly discussed term in 5G networks. The goals of security solutions are to provide privacy, authentication, integrity, non-repudiation, and confidentiality [ 49 , 50 , 51 ]. Base on heterogeneity of the Internet of Thing-based systems, the proposed systems will need support different solutions and algorithms in the sense of security, privacy, secure transmission of information over the networks, interoperability and data management [ 52 ].…”

Section: Brief Discussion About Future Steps Of Proposed Mnm Modelmentioning

confidence: 99%

Multilayered Network Model for Mobile Network Infrastructure Disruption

Hrabcak

Dobos

Papaj

et al. 2020

Sensors

View full text Add to dashboard Cite

In this paper, the novel study of the multilayered network model for the disrupted infrastructure of the 5G mobile network is introduced. The aim of this study is to present the new way of incorporating different types of networks, such as Wireless Sensor Networks (WSN), Mobile Ad-Hoc Networks (MANET), and DRONET Networks into one fully functional multilayered network. The proposed multilayered network model also presents the resilient way to deal with infrastructure disruption due to different reasons, such as disaster scenarios or malicious actions. In the near future, new network technologies of 5G networks and the phenomenon known as the Internet of Things (IoT) will empower the functionality of different types of networks and interconnects them into one complex network. The proposed concept is oriented on resilient, smart city applications such as public safety and health and it is able to provide critical communication when fixed network infrastructure is destroyed by deploying smart sensors and unmanned aerial vehicles. The provided simulations shows that the proposed multilayered network concept is able to perform better than traditional WSN network in term of delivery time, average number of hops and data rate speed, when disruption scenario occurs.

show abstract

“…On the side of testbeds, rigorous real experiments with real UAVs are highly restricted and inherently difficult due to several reasons, such as the cost, the regulations, the time expenditures, and the need for a large open space [304]. Consequently, researchers are heavily reliant on simulations to evaluate the performance of their UAV-assisted protocols and systems by adopting equivalent or identical channel conditions and UAV mobility [305]- [307]. As depicted in Figure 56, a statistical study is performed considering not only the major used simulation tools, but also the different testbeds carried out to evaluate the concepts of SDN and NFV in UAV networks.…”

Section: A Statistical Studymentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

show abstract

Reliable Flying IoT Networks for UAV Disaster Rescue Operations

Cited by 35 publications

References 15 publications

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Multilayered Network Model for Mobile Network Infrastructure Disruption

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Contact Info

Product

Resources

About